PMID- 31946913
OWN - NLM
STAT- MEDLINE
DCOM- 20200501
LR  - 20200928
IS  - 2694-0604 (Electronic)
IS  - 2375-7477 (Linking)
VI  - 2019
DP  - 2019 Jul
TI  - The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of 
      Lumbar Disc Herniation.
PG  - 4707-4711
LID - 10.1109/EMBC.2019.8857620 [doi]
AB  - The purpose of this study was to investigate surface EEG of two groups (lumbar 
      disc herniation (LDH) patients and healthy controls (HC)) when they performed 
      real smooth movements (left/right lateral bending) with the maximum voluntary 
      movement without pain. Thirty female LDH patients and thirty healthy controls 
      volunteered to participate in the experiment. We also tested a healthy 
      participant's motion imaginery (MI) of left/right lateral bending movement for 
      over 200 times. We used Daubechies 4 (db4) wavelet to decompose EEG signal and we 
      extracted delta, theta, alpha and beta rhythms of the EEG signal. Wavelet entropy and sample 
      entropy (SampEn) of four frequency bands were calculated. The results showed that 
      there was significant difference of wavelet entropy EEG in T7, O2, and AF4 
      channels between the LDH and the healthy group when they did real left lateral 
      bending. The topographic map also showed that SampEn value of four rhythms of the 
      MI right lateral bending were significantly less than the values of the MI left 
      lateral motion in healthy participant. Classification and Regression Trees 
      (CART), Logistic regression (LR), Support Vector Machine (SVM), K-nearest 
      neighbors (KNN), and the Linear discrimination analysis (LDA) classifiers showed 
      averaged accuracies more than 96% for MI of left/right lateral bending.
FAU - Li, Huihui
AU  - Li H
FAU - Du, Wenjing
AU  - Du W
FAU - Ivanov, Kamen
AU  - Ivanov K
FAU - Yang, Yuchao
AU  - Yang Y
FAU - Zhan, Yang
AU  - Zhan Y
FAU - Wang, Lei
AU  - Wang L
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Annu Int Conf IEEE Eng Med Biol Soc
JT  - Annual International Conference of the IEEE Engineering in Medicine and Biology 
      Society. IEEE Engineering in Medicine and Biology Society. Annual International 
      Conference
JID - 101763872
SB  - IM
MH  - Algorithms
MH  - Brain/*diagnostic imaging
MH  - Case-Control Studies
MH  - *Electroencephalography
MH  - Entropy
MH  - Female
MH  - Humans
MH  - *Intervertebral Disc Displacement
MH  - *Movement
MH  - Wavelet Analysis
EDAT- 2020/01/18 06:00
MHDA- 2020/05/02 06:00
CRDT- 2020/01/18 06:00
PHST- 2020/01/18 06:00 [entrez]
PHST- 2020/01/18 06:00 [pubmed]
PHST- 2020/05/02 06:00 [medline]
AID - 10.1109/EMBC.2019.8857620 [doi]
PST - ppublish
SO  - Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4707-4711. doi: 
      10.1109/EMBC.2019.8857620.